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analysis of gene expression data. Nowadays, microarray technology is available for taking “pictures” of gene expressions …
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options are provided: the conventional least absolute shrinkage and selection operator (LASSO) for metric covariates, and both … group and fused LASSO for categorical predictors. The methods are investigated both for simulated data and for two real data …
Persistent link: https://www.econbiz.de/10011930753
options are provided: the conventional least absolute shrinkage and selection operator (LASSO) for metric covariates, and both … group and fused LASSO for categorical predictors. The methods are investigated both for simulated data and for two real data …
Persistent link: https://www.econbiz.de/10011899137
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A DNA microarray can measure the expression of thousands of genes simultaneously, and this enables us to study the … selection algorithms to the AMD microarray dataset. In this paper four methods are utilized to perform feature selection: Naïve … Bayes, Random Forest, Random Lasso, and Ensemble Feature Selection. Functional Annotation of 20 final selected genes …
Persistent link: https://www.econbiz.de/10012048138